How to Deploy Docker Image to Kubernetes Cluster Using Jenkins CI/CD Pipeline Running on a Container

GitHub Repo: github.com/iQu...
🚀 Video Description:
In this video, we walk through the complete process of deploying a Docker image to a Kubernetes cluster using a Jenkins CI/CD pipeline running on a Jenkins container. If you're looking to streamline your DevOps workflow and automate the deployment of applications in a Kubernetes environment, this step-by-step tutorial will guide you through the essential concepts and techniques.
📌 What You’ll Learn:
1. Setting Up Jenkins for CI/CD: Learn how to configure Jenkins on Docker to automatically build and push Docker images.
2. Integrating Docker and Jenkins: See how to create a Jenkins pipeline that builds a Docker image from your codebase.
3. Pushing Docker Images to DockerHub: We cover how to securely push Docker images to a Docker registry like DockerHub.
4. Deploying to a Kubernetes Cluster: Discover how to write and use deployment YAML files to deploy the Docker image to a Kubernetes cluster.
5. Minikube Configuration: For local development, we demonstrate deploying the image on a Minikube Kubernetes cluster, along with handling service exposure.
6. Automating the Deployment: Learn how to automate the entire process using Jenkins, so every code change automatically triggers a build, push, and deployment to Kubernetes.
7. Troubleshooting Common Issues: We’ll also go over solutions to common problems faced during deployments such as network issues, service exposure, and authentication.
Prerequisites:
1. Basic understanding of Docker and Kubernetes
2. Familiarity with Jenkins pipelines
3. Working knowledge of YAML configuration files
By the end of this video, you'll be equipped with the knowledge to fully automate your application's build and deployment pipeline, allowing you to focus more on development and less on manual deployment tasks.
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#DevOps #Jenkins #Kubernetes #Docker #CI_CD #Automation #DockerHub #Minikube
Disclaimer: Video is made for educational purposes
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Happy DevOps'ing! 🎉